---
title: "Untitled"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
source_code: embed
social: menu
---
```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
#install.packages("plotly")
library(plotly)
library(knitr)
library(DT)
library(flexdashboard)
library(tidyverse)
library(knitr)
df <- read_csv('vgsales.csv')
head(df)
# Create a ggplot object
df1 = df %>%
ggplot()+
geom_point(aes(x=NA_Sales, y=EU_Sales))+labs(title="Length of Stay by Age, and by Sex", caption="For males, there are more stays over 500 days for people under 40 years old. But there are no major differences between genders")
df1
df2 = df %>%
filter(Platform=='PS4'|Platform=='XOne') %>%
ggplot()+
geom_point(aes(x=NA_Sales, y=EU_Sales))+facet_wrap(~Platform)+labs(title="Length of Stay by Age, and by Sex", caption="For males, there are more stays over 500 days for people under 40 years old. But there are no major differences between genders")
df2
```
{.sidebar}
=======================================================================
Main Tab 1
=======================================================================
Column {data-width=500, .tabset}
-----------------------------------------------------------------------
### Column Tab 1
```{r}
df
```
### Column Tab 2
```{r}
#kable(df)
```
### Column Tab 3
```{r}
datatable(df, options = list(
pageLength = 25
))
```
Column {data-width=500}
-----------------------------------------------------------------------
### Row 1
```{r}
df
```
### Row 2
```{r}
ggplotly(df1)
```
Main Tab 2
=======================================================================
Column {data-width=500}
#### 3. Example
```{r, echo=TRUE, eval=TRUE}
library(plotly)
df <- data.frame(x=c(1, 2, 3, 4), y=c(1, 5, 3, 5), group=c('A', 'A', 'B', 'B'))
p <- ggplot(data=df, aes(x=x, y=y, colour=group)) + geom_point()
ggplotly(p)
```
Column {data-width=500}
-----------------------------------------------------------------------
### Row 1
```{r}
df2
```
### Row 2
```{r}
ggplotly(df2)
```
M
